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dipseth

google-workspace-unlimited

List Gmail Labels

list_gmail_labels
Read-onlyIdempotent

Retrieve all Gmail labels, both system and user-created, in a structured format.

Instructions

List all labels in the user's Gmail account with structured output (system and user-created)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailNoUse 'me' or 'myself' for auto-resolution to authenticated user, or provide specific email address. If None, uses current authenticated user (auto-injected by middleware).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
labelsYes
id_to_nameYes
user_countYes
total_countYes
user_labelsYes
system_countYes
system_labelsYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by stating 'structured output (system and user-created)', which informs the agent about the return content beyond what annotations cover. However, it does not mention potential pagination or limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the verb and resource ('List all labels') and includes key contextual detail about output structure. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one optional parameter, read-only, idempotent), the description combined with annotations and detailed schema fully covers the tool's purpose, safety, and parameters. Output schema exists for return details, so no gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema description for the single parameter (user_google_email) is detailed, covering usage of 'me'/'myself', specific email, and auto-injection. The tool description adds no additional parameter information beyond the schema, so baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'List all labels', a specific verb+resource, and distinguishes from sibling tools like manage_gmail_label (which modifies labels) and list_gmail_filters (which lists filters, not labels).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives. It only states what it does, with no explicit when-to-use or when-not-to-use context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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